84 research outputs found

    Age differences in the use of serving size information on food labels: numeracy or attention?

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    ObjectiveThe ability to use serving size information on food labels is important for managing age-related chronic conditions such as diabetes, obesity and cancer. Past research suggests that older adults are at risk for failing to accurately use this portion of the food label due to numeracy skills. However, the extent to which older adults pay attention to serving size information on packages is unclear. We compared the effects of numeracy and attention on age differences in accurate use of serving size information while individuals evaluated product healthfulness.DesignAccuracy and attention were assessed across two tasks in which participants compared nutrition labels of two products to determine which was more healthful if they were to consume the entire package. Participants' eye movements were monitored as a measure of attention while they compared two products presented side-by-side on a computer screen. Numeracy as well as food label habits and nutrition knowledge were assessed using questionnaires.SettingSacramento area, California, USA, 2013-2014.SubjectsStratified sample of 358 adults, aged 20-78 years.ResultsAccuracy declined with age among those older adults who paid less attention to serving size information. Although numeracy, nutrition knowledge and self-reported food label use supported accuracy, these factors did not influence age differences in accuracy.ConclusionsThe data suggest that older adults are less accurate than younger adults in their use of serving size information. Age differences appear to be more related to lack of attention to serving size information than to numeracy skills

    Habitat and exposure modelling for ecological risk assessment: A

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    Contamination has a dramatic impact on the health of ecosystem and habitat suitability for the inhabited flora and fauna. The Environmental Protection Agency (EPA) mandates an ecological risk assessment (ERA) that evaluates the potential adverse impact of any anthropogenic activities on the ecosystem (US Environmental Protection Agency, 1997. Ecological Risk Assessment Guidance for Superfund: Process for Designing and Conducting Ecological Risk Assessment. EPA/630/R-021011, Washington, DC). This study provides a general framework and specific procedures to predict the contaminant exposure of midsized mammals using a geographical information system (GIS)-based Monte Carlo simulation model. The model was applied to the raccoons (Procyon lotor) on the Savannah River Site (SRS), a former nuclear production and current research facility. Habitat behavioral data of 13 radiocollared male raccoons were used to determine home range and core areas. Combined with other geographic data layers, such as distance to water, number of wetlands, and class landscape metrics, a logistic regression model was used to inductively derive the resource selection functions that define the occurrence of raccoon. The cross validation consistently revealed a high accuracy. A Monte Carlo simulation was then performed to estimate the likelihood of exposure and contaminant uptake of the species weighted by the resource selection probability. This model adopted conservative assumptions and spatial parameters. The proposed model served the purpose of assessing ecological risk and supporting decision-making. Implementation issues for a GIS-based ecological risk assessment model are discussed

    Habitat and exposure modelling for ecological risk assessment: A

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    Contamination has a dramatic impact on the health of ecosystem and habitat suitability for the inhabited flora and fauna. The Environmental Protection Agency (EPA) mandates an ecological risk assessment (ERA) that evaluates the potential adverse impact of any anthropogenic activities on the ecosystem (US Environmental Protection Agency, 1997. Ecological Risk Assessment Guidance for Superfund: Process for Designing and Conducting Ecological Risk Assessment. EPA/630/R-021011, Washington, DC). This study provides a general framework and specific procedures to predict the contaminant exposure of midsized mammals using a geographical information system (GIS)-based Monte Carlo simulation model. The model was applied to the raccoons (Procyon lotor) on the Savannah River Site (SRS), a former nuclear production and current research facility. Habitat behavioral data of 13 radiocollared male raccoons were used to determine home range and core areas. Combined with other geographic data layers, such as distance to water, number of wetlands, and class landscape metrics, a logistic regression model was used to inductively derive the resource selection functions that define the occurrence of raccoon. The cross validation consistently revealed a high accuracy. A Monte Carlo simulation was then performed to estimate the likelihood of exposure and contaminant uptake of the species weighted by the resource selection probability. This model adopted conservative assumptions and spatial parameters. The proposed model served the purpose of assessing ecological risk and supporting decision-making. Implementation issues for a GIS-based ecological risk assessment model are discussed

    Relationships among food label use, motivation, and dietary quality.

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    Nutrition information on packaged foods supplies information that aids consumers in meeting the recommendations put forth in the US Dietary Guidelines for Americans such as reducing intake of solid fats and added sugars. It is important to understand how food label use is related to dietary intake. However, prior work is based only on self-reported use of food labels, making it unclear if subjective assessments are biased toward motivational influences. We assessed food label use using both self-reported and objective measures, the stage of change, and dietary quality in a sample of 392 stratified by income. Self-reported food label use was assessed using a questionnaire. Objective use was assessed using a mock shopping task in which participants viewed food labels and decided which foods to purchase. Eye movements were monitored to assess attention to nutrition information on the food labels. Individuals paid attention to nutrition information when selecting foods to buy. Self-reported and objective measures of label use showed some overlap with each other (r=0.29, p<0.001), and both predicted dietary quality (p<0.001 for both). The stage of change diminished the predictive power of subjective (p<0.09), but not objective (p<0.01), food label use. These data show both self-reported and objective measures of food label use are positively associated with dietary quality. However, self-reported measures appear to capture a greater motivational component of food label use than do more objective measures

    Misunderstanding of Front-Of-Package Nutrition Information on US Food Products.

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    Front-of-package nutrition symbols (FOPs) are presumably readily noticeable and require minimal prior nutrition knowledge to use. Although there is evidence to support this notion, few studies have focused on Facts Up Front type symbols which are used in the US. Participants with varying levels of prior knowledge were asked to view two products and decide which was more healthful. FOPs on packages were manipulated so that one product was more healthful, allowing us to assess accuracy. Attention to nutrition information was assessed via eye tracking to determine what if any FOP information was used to make their decisions. Results showed that accuracy was below chance on half of the comparisons despite consulting FOPs. Negative correlations between attention to calories, fat, and sodium and accuracy indicated that consumers over-relied on these nutrients. Although relatively little attention was allocated to fiber and sugar, associations between attention and accuracy were positive. Attention to vitamin D showed no association to accuracy, indicating confusion surrounding what constitutes a meaningful change across products. Greater nutrition knowledge was associated with greater accuracy, even when less attention was paid. Individuals, particularly those with less knowledge, are misled by calorie, sodium, and fat information on FOPs

    Inadequate Sedation During Therapeutic Paralysis: Use of Bispectral Index in Critically Ill Patients

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    Background Patients receiving therapeutic paralysis may experience inadequate sedation due to intrinsic limitations of behavioral sedation assessment. Bispectral index (BIS™) provides an objective measure of sedation; however, the role of BIS™ is not well defined in intensive care unit (ICU) patients on neuromuscular blocking agents (NMBA). Objective The aim of this study was to delineate the relationship between BIS™ and level of sedation for critically ill patients during therapeutic paralysis. Methods This was a retrospective observational study conducted in ICU patients receiving continuous infusion NMBA and BIS™ monitoring. The primary endpoint was the correlation of BIS™ \u3c 60 during therapeutic paralysis with a Richmond Agitation Sedation Score (RASS) of −4 to −5 (i.e., deep or unarousable sedation) at the time of emergence from therapeutic paralysis. Results Thirty-one patients were included in the analysis. Three of these patients (9.6 %) were inadequately sedated upon emergence from paralysis; that is, restless or agitated (RASS +1 to +2). We did not observe a correlation between BIS™ and RASS upon emergence from paralysis (r = 0.27, p = 0.14). The sensitivity of BIS™ \u3c 60 in predicting deep sedation (RASS −5 to −4) was 100 % (95 % confidence interval [CI] 0–100) with a positive predictive value of 35.7 %. The sensitivity and positive predictive value of BIS™ \u3c 60 in predicting light sedation or deeper (RASS −5 to −2) was 92.9 % (95 %CI 83.3–100) and 92.9 %, respectively. Conclusion These results suggest that 1 in 10 critically ill patients receiving therapeutic paralysis may be inadequately sedated. BIS™ monitoring may serve as a useful adjunctive measure of sedation in critically ill patients receiving therapeutic paralysis

    Inadequate Sedation During Therapeutic Paralysis: Use of Bispectral Index in Critically Ill Patients

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    Background: Patients receiving therapeutic paralysis may experience inadequate sedation due to intrinsic limitations of behavioral sedation assessment. Bispectral index (BISTM) provides an objective measure of sedation; however, the role of BISTM is not well defined in intensive care unit (ICU) patients on neuromuscular blocking agents (NMBA). Objective: The aim of this study was to delineate the relationship between BISTM and level of sedation for critically ill patients during therapeutic paralysis. Methods: This was a retrospective observational study conducted in ICU patients receiving continuous infusion NMBA and BISTM monitoring. The primary endpoint was the correlation of BISTM\60 during therapeutic paralysis with a Richmond Agitation Sedation Score (RASS) of -4 to -5 (i.e., deep or unarousable sedation) at the time of emergence from therapeutic paralysis. Results: Thirty-one patients were included in the analysis. Three of these patients (9.6 %) were inadequately sedated upon emergence from paralysis; that is, restless or agitated (RASS ?1 to ?2). We did not observe a correlation between BISTM and RASS upon emergence from paralysis (r = 0.27, p = 0.14). The sensitivity of BISTM\60 in predicting deep sedation (RASS -5 to -4) was 100 % (95 % confidence interval [CI] 0–100) with a positive predictive value of 35.7 %. The sensitivity and positive predictive value of BISTM\60 in predicting light sedation or deeper (RASS -5 to -2) was 92.9 % (95 %CI 83.3–100) and 92.9 %, respectively. Conclusion: These results suggest that 1 in 10 critically ill patients receiving therapeutic paralysis may be inadequately sedated. BISTM monitoring may serve as a useful adjunctive measure of sedation in critically ill patients receiving therapeutic paralysis

    Relationship between age at menopause, obesity, and incident heart failure: The Atherosclerosis Risk in Communities Study

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    Background The mechanisms linking menopausal age and heart failure (HF) incidence are controversial. We investigated for heterogeneity by obesity on the relationship between menopausal age and HF incidence. Methods and Results Using postmenopausal women who attended the Atherosclerosis Risk in Communities Study Visit 4, we estimated hazard ratios of incident HF associated with menopausal age using Cox proportional hazards models, testing for effect modification by obesity and adjusting for HF risk factors. Women were categorized by menopausal age: \u3c45 years, 45 to 49 years, 50 to 54 years, and ≥55 years. Among 4441 postmenopausal women, aged 63.5±5.5 years, there were 903 incident HF events over a mean follow-up of 16.5 years. The attributable risk of generalized and central obesity for HF incidence was greatest among women who experienced menopause at age ≥55 years: 11.09/1000 person-years and 7.38/1000 person-years, respectively. There were significant interactions of menopausal age with body mass index and waist circumference for HF incidence
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